{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d469d58c-5ce9-413b-af7f-b3726c0bef23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Condition 1</th>\n",
       "      <th>Condition 2</th>\n",
       "      <th>Condition 3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.548814</td>\n",
       "      <td>0.880757</td>\n",
       "      <td>0.395459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.715189</td>\n",
       "      <td>0.719243</td>\n",
       "      <td>0.480735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.602763</td>\n",
       "      <td>0.415331</td>\n",
       "      <td>0.767394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.544883</td>\n",
       "      <td>0.702476</td>\n",
       "      <td>0.066248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.423655</td>\n",
       "      <td>0.106447</td>\n",
       "      <td>0.733443</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Condition 1  Condition 2  Condition 3\n",
       "0     0.548814     0.880757     0.395459\n",
       "1     0.715189     0.719243     0.480735\n",
       "2     0.602763     0.415331     0.767394\n",
       "3     0.544883     0.702476     0.066248\n",
       "4     0.423655     0.106447     0.733443"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "np.random.seed(0)\n",
    "df = pd.DataFrame({'Condition 1': np.random.rand(20),\n",
    "                   'Condition 2': np.random.rand(20)*0.9,\n",
    "                   'Condition 3': np.random.rand(20)*1.1})\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d295e04e-2202-494e-b839-9b8995f4bff3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "df.plot.bar(ax=ax,stacked=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ffb1d20f-721f-4b7e-bc51-cb1aab44adce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = {'a': np.arange(50),\n",
    "        'c': np.random.randint(0, 50, 50),\n",
    "        'd': np.random.randn(50)}\n",
    "data['b'] = data['a'] + 10 * np.random.randn(50)\n",
    "data['d'] = np.abs(data['d']) * 100\n",
    "\n",
    "plt.scatter('a', 'b', c='c', s='d', data=data)\n",
    "plt.xlabel('entry a')\n",
    "plt.ylabel('entry b')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "43b6a4cd-a901-47fa-b483-f7c38836a9a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.ticker import FuncFormatter\n",
    "df_ratio = df.div(df.sum(axis=1),axis=0)\n",
    "fig,ax = plt.subplots()\n",
    "ax.yaxis.set_major_formatter(FuncFormatter(lambda y,_:'{:0%}'.format(y)))\n",
    "df_ratio.plot.bar(ax=ax,stacked=True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "efc7ced3-8763-4604-92fd-b11bcf7f1bb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Number of sexual partners</th>\n",
       "      <th>First sexual intercourse</th>\n",
       "      <th>Num of pregnancies</th>\n",
       "      <th>Smokes</th>\n",
       "      <th>Smokes (years)</th>\n",
       "      <th>Smokes (packs/year)</th>\n",
       "      <th>Hormonal Contraceptives</th>\n",
       "      <th>Hormonal Contraceptives (years)</th>\n",
       "      <th>IUD</th>\n",
       "      <th>...</th>\n",
       "      <th>STDs: Time since first diagnosis</th>\n",
       "      <th>STDs: Time since last diagnosis</th>\n",
       "      <th>Dx:Cancer</th>\n",
       "      <th>Dx:CIN</th>\n",
       "      <th>Dx:HPV</th>\n",
       "      <th>Dx</th>\n",
       "      <th>Hinselmann</th>\n",
       "      <th>Schiller</th>\n",
       "      <th>Citology</th>\n",
       "      <th>Biopsy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>34</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>52</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>46</td>\n",
       "      <td>3.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age  Number of sexual partners  First sexual intercourse  \\\n",
       "0   18                        4.0                      15.0   \n",
       "1   15                        1.0                      14.0   \n",
       "2   34                        1.0                       NaN   \n",
       "3   52                        5.0                      16.0   \n",
       "4   46                        3.0                      21.0   \n",
       "\n",
       "   Num of pregnancies  Smokes  Smokes (years)  Smokes (packs/year)  \\\n",
       "0                 1.0     0.0             0.0                  0.0   \n",
       "1                 1.0     0.0             0.0                  0.0   \n",
       "2                 1.0     0.0             0.0                  0.0   \n",
       "3                 4.0     1.0            37.0                 37.0   \n",
       "4                 4.0     0.0             0.0                  0.0   \n",
       "\n",
       "   Hormonal Contraceptives  Hormonal Contraceptives (years)  IUD  ...  \\\n",
       "0                      0.0                              0.0  0.0  ...   \n",
       "1                      0.0                              0.0  0.0  ...   \n",
       "2                      0.0                              0.0  0.0  ...   \n",
       "3                      1.0                              3.0  0.0  ...   \n",
       "4                      1.0                             15.0  0.0  ...   \n",
       "\n",
       "   STDs: Time since first diagnosis  STDs: Time since last diagnosis  \\\n",
       "0                               NaN                              NaN   \n",
       "1                               NaN                              NaN   \n",
       "2                               NaN                              NaN   \n",
       "3                               NaN                              NaN   \n",
       "4                               NaN                              NaN   \n",
       "\n",
       "   Dx:Cancer  Dx:CIN  Dx:HPV  Dx  Hinselmann  Schiller  Citology  Biopsy  \n",
       "0          0       0       0   0           0         0         0       0  \n",
       "1          0       0       0   0           0         0         0       0  \n",
       "2          0       0       0   0           0         0         0       0  \n",
       "3          1       0       1   0           0         0         0       0  \n",
       "4          0       0       0   0           0         0         0       0  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# UCI机器学习库中的宫颈癌风险数据集\n",
    "url = 'https://archive.ics.uci.edu/ml/machine-learning-databases/00383/risk_factors_cervical_cancer.csv'\n",
    "df =  pd.read_csv(url,na_values=\"?\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "feb695f1-993f-4c77-98de-64725c1c1b4a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Number of sexual partners</th>\n",
       "      <th>First sexual intercourse</th>\n",
       "      <th>Num of pregnancies</th>\n",
       "      <th>Smokes</th>\n",
       "      <th>Smokes (years)</th>\n",
       "      <th>Smokes (packs/year)</th>\n",
       "      <th>Hormonal Contraceptives</th>\n",
       "      <th>Hormonal Contraceptives (years)</th>\n",
       "      <th>IUD</th>\n",
       "      <th>...</th>\n",
       "      <th>STDs: Time since first diagnosis</th>\n",
       "      <th>STDs: Time since last diagnosis</th>\n",
       "      <th>Dx:Cancer</th>\n",
       "      <th>Dx:CIN</th>\n",
       "      <th>Dx:HPV</th>\n",
       "      <th>Dx</th>\n",
       "      <th>Hinselmann</th>\n",
       "      <th>Schiller</th>\n",
       "      <th>Citology</th>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>52.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>16.0000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "      <td>46.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>4.0</td>\n",
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       "<p>5 rows × 36 columns</p>\n",
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      ],
      "text/plain": [
       "    Age  Number of sexual partners  First sexual intercourse  \\\n",
       "0  18.0                        4.0                   15.0000   \n",
       "1  15.0                        1.0                   14.0000   \n",
       "2  34.0                        1.0                   16.9953   \n",
       "3  52.0                        5.0                   16.0000   \n",
       "4  46.0                        3.0                   21.0000   \n",
       "\n",
       "   Num of pregnancies  Smokes  Smokes (years)  Smokes (packs/year)  \\\n",
       "0                 1.0     0.0             0.0                  0.0   \n",
       "1                 1.0     0.0             0.0                  0.0   \n",
       "2                 1.0     0.0             0.0                  0.0   \n",
       "3                 4.0     1.0            37.0                 37.0   \n",
       "4                 4.0     0.0             0.0                  0.0   \n",
       "\n",
       "   Hormonal Contraceptives  Hormonal Contraceptives (years)  IUD  ...  \\\n",
       "0                      0.0                              0.0  0.0  ...   \n",
       "1                      0.0                              0.0  0.0  ...   \n",
       "2                      0.0                              0.0  0.0  ...   \n",
       "3                      1.0                              3.0  0.0  ...   \n",
       "4                      1.0                             15.0  0.0  ...   \n",
       "\n",
       "   STDs: Time since first diagnosis  STDs: Time since last diagnosis  \\\n",
       "0                          6.140845                         5.816901   \n",
       "1                          6.140845                         5.816901   \n",
       "2                          6.140845                         5.816901   \n",
       "3                          6.140845                         5.816901   \n",
       "4                          6.140845                         5.816901   \n",
       "\n",
       "   Dx:Cancer  Dx:CIN  Dx:HPV   Dx  Hinselmann  Schiller  Citology  Biopsy  \n",
       "0        0.0     0.0     0.0  0.0         0.0       0.0       0.0     0.0  \n",
       "1        0.0     0.0     0.0  0.0         0.0       0.0       0.0     0.0  \n",
       "2        0.0     0.0     0.0  0.0         0.0       0.0       0.0     0.0  \n",
       "3        1.0     0.0     1.0  0.0         0.0       0.0       0.0     0.0  \n",
       "4        0.0     0.0     0.0  0.0         0.0       0.0       0.0     0.0  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.impute import SimpleImputer  # 正确的导入方式\n",
    "\n",
    "# 创建一个 SimpleImputer 实例（默认用均值填充缺失值）\n",
    "imputer = SimpleImputer(strategy='mean')\n",
    "\n",
    "# 拟合并转换 DataFrame，然后再转换为 DataFrame 类型\n",
    "impute = pd.DataFrame(imputer.fit_transform(df), columns=df.columns, index=df.index)\n",
    "\n",
    "impute.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d714e548-353b-4725-98b9-1e33681d609c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Enabling notebook extension jupyter-js-widgets/extension...\n",
      "      - Validating: ok\n"
     ]
    }
   ],
   "source": [
    "!jupyter nbextension enable --py widgetsnbextension"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "326a09b4-8a19-4ecc-9176-d3db1ae6bf08",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.decomposition import PCA\n",
    "from mpl_toolkits.mplot3d import Axes3D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7ddaec29-9bcf-4cef-ad3a-1e14a0d14d01",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Explained variance:\n",
      "PC1 59.41%\n",
      "PC2 14.59%\n",
      "PC3 9.02%\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\MI\\AppData\\Local\\Temp\\ipykernel_14928\\3616721107.py:13: MatplotlibDeprecationWarning: Axes3D(fig) adding itself to the figure is deprecated since 3.4. Pass the keyword argument auto_add_to_figure=False and use fig.add_axes(ax) to suppress this warning. The default value of auto_add_to_figure will change to False in mpl3.5 and True values will no longer work in 3.6.  This is consistent with other Axes classes.\n",
      "  ax = Axes3D(fig)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = impute.drop('Dx:Cancer', axis=1)\n",
    "y = impute[\"Dx:Cancer\"]\n",
    "\n",
    "pca = PCA(n_components=3)\n",
    "X_r = pca.fit_transform(features)\n",
    "\n",
    "print(\"Explained variance:\\nPC1 {:.2%}\\nPC2 {:.2%}\\nPC3 {:.2%}\"\n",
    "      .format(pca.explained_variance_ratio_[0],\n",
    "              pca.explained_variance_ratio_[1],\n",
    "              pca.explained_variance_ratio_[2]))\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = Axes3D(fig)\n",
    "\n",
    "ax.scatter(X_r[:, 0], X_r[:, 1], X_r[:, 2], c=y, cmap=plt.cm.coolwarm)\n",
    "\n",
    "# Label the axes\n",
    "ax.set_xlabel('PC1')\n",
    "ax.set_ylabel('PC2')\n",
    "ax.set_zlabel('PC3')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c129ad41-879b-48da-b973-d305a7663071",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8",
   "language": "python",
   "name": "py38"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.20"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
